Piyush Yadav

Python Machine Learning ETL Pipelines

Turning raw data into clear decisions. I build end-to-end pipelines, predictive models, and executive-ready dashboards that make the invisible visible.

Open to opportunities
3+
End-to-end projects
20+
Tools & technologies
ETL
Pipeline specialist
ML
Predictive modelling
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I'm Piyush — a data analyst and ML engineer who believes that the best insight is the one that actually gets used.

I design pipelines that move data cleanly from source to insight, then wrap that insight in dashboards and reports that decision-makers can act on. From Kafka streams to Tableau boardroom views, I work across the full data lifecycle.

My work spans computer vision, NLP, and classical ML — always grounded in real-world outcomes over theoretical purity.

Languages & Data
Python SQL Pandas NumPy Jupyter Google Colab
ML & AI
Scikit-learn TensorFlow PyTorch NLP Computer Vision Neural Networks
Viz & Reporting
Tableau Matplotlib Seaborn Excel Google Sheets
Infra & DevOps
AWS Kafka Docker Kubernetes Git

Selected
Work

01
RACE IQ · SPONSORSHIP ROI 2014 → 2026 MCL FER RBR MER AST COMPOSITE INVESTMENT SCORE 5 KPIs · 3 DASHBOARDS · 4,626 ROWS

F1 Constructor Sponsorship & Investment ROI

Capstone Tableau suite on official F1 data — ETL across six tables, composite investment score, statistical validation, and sponsorship narratives for the hybrid era.

Python Pandas Tableau Jupyter Statistics
Open Tableau dashboard ↗
02
0 25k 50k 75k Grocery Dairy Snacks Beverages Frozen Outlet A Outlet B SALES BY CATEGORY Top: Beverages

Big Mart Sales Analysis

Full ETL pipeline with an executive-grade Excel dashboard and report, driving actionable retail sales insights.

Python ETL Excel Pandas
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03
Soil Nitrogen (ppm) Yield (t/ha) R² Score 0.94 Actual Predicted YIELD PREDICTION MODEL

Soil Yield Analysis

ETL pipeline plus a regression prediction model estimating agricultural yield from soil composition data.

Python ETL Scikit-learn NumPy
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Let's work
together.

Open to data analyst and ML engineering roles, freelance projects, and research collaborations.